“DIA SMART” Android-Based Intelligent Application Expert System for Diagnosis and Mapping of 10 Diseases at Teaching Factory Nutrition Care Center

The Basic Health Research in 2018 showed that the prevalence of non-communicable diseases including cancer, stroke, chronic kidney disease, diabetes mellitus, and hypertension increased in Indonesia. The main risk factors are metabolic factors, behavioral factors, and environmental factors. Based on the existing problems, an Android-based intelligent application for the diagnosis and mapping of 10 diseases was proposed at the Teaching Factory Nutrition Care Center. This application development used the Expert System Development Life Cycle model and Dart Language. The framework used is Flutter. This article only discusses the implementation and testing of applications made based on Android. This application was developed to perform a diagnosis based on some patients’ data. This application is used as a reference for early detection of a disease, allowing patients to take preventive measures. It can map the number of patients who had health consultations in each department. The users of the application were a doctor, nutritionist or health consultant at the Teaching Factory Nutrition Care Center. System functionality tested using Blackbox-testing showed that the application ran well

Implementation of REST API in Web Service System for Medical Resume Provision

This research seeks to develop a web service system that functions as a medical resume provision via RESTful API. Accurate and comprehensive medical records are critical in the identification and diagnosis of patients. Medical resumes, which summarize a patient's healthcare services and are completed by the responsible doctor, are an essential component of medical records. Electronic medical record systems can aid in patient care, and a patient's prior health history is crucial in developing a holistic and continuous treatment plan. Unfortunately, patients often require a fresh medical examination due to a lack of past health data. The proposed system can interconnect with other electronic medical record systems and facilitate the exchange of medical resume data between hospitals. This research employs the waterfall development system. The resultant system provides patient medical resumes from participating hospitals, offering a solution to the problem of inconsistent patient information and clinical data, and improves service quality and diagnosis accuracy based on available data